Title :
A modeling method based on wavelet networks
Author :
Zhou, Weidong ; Jia, Lei
Author_Institution :
Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan, China
fDate :
31 Aug.-4 Sept. 2004
Abstract :
A modeling and time-frequency analysis method based on a wavelet network is introduced. The wavelet network model can represent the time series signal effectively. Based on the wavelet network model, a novel time-frequency energy distribution function is obtained, which has the same time-frequency resolution as Wigner-Ville distribution and is free of cross-term interference. There is a great potential for the use of the novel time-frequency representation of nonstationary signal based on a wavelet network in the field of the electrophysiological signal processing and time-frequency analysis.
Keywords :
Wigner distribution; signal representation; signal resolution; time series; time-frequency analysis; wavelet transforms; cross-term interference; electrophysiological signal processing; nonstationary signal representation; time series signal; time-frequency analysis method; time-frequency energy distribution function; time-frequency resolution; wavelet network model; Artificial neural networks; Brain modeling; Diseases; Electroencephalography; Interference; Signal processing; Signal resolution; Time frequency analysis; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN :
0-7803-8406-7
DOI :
10.1109/ICOSP.2004.1452605
